Triple

T13881201
Position Surface form Disambiguated ID Type / Status
Subject Ferenc Molnár E333719 entity
Predicate spouse P13 FINISHED
Object Margit Vészi
Margit Vészi was a Hungarian journalist and writer, known both for her own literary work and as the wife of celebrated playwright Ferenc Molnár.
 E1067513 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Margit Vészi | Statement: [Ferenc Molnár, spouse, Margit Vészi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margit Vészi
Context triple: [Ferenc Molnár, spouse, Margit Vészi]
  • A. Margit Bornemisza
    Margit Bornemisza is a member of the prominent Thyssen-Bornemisza family, known for its industrial fortune and major European art collections.
  • B. Katalin Szili
    Katalin Szili is a Hungarian politician and former Speaker of the National Assembly who has played a significant role in Hungary’s post-communist political landscape.
  • C. Márta Eggerth
    Márta Eggerth was a Hungarian-born soprano and film actress renowned for her operetta performances in Europe and Hollywood during the 1930s and 1940s.
  • D. Márta Borbíró
    Márta Borbíró was the wife of Hungarian physiologist and Nobel laureate Albert Szent-Györgyi.
  • E. Éva Gábor
    Éva Gábor was a Hungarian-American actress, singer, and businesswoman best known for her role as Lisa Douglas on the television sitcom "Green Acres."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Margit Vészi
Triple: [Ferenc Molnár, spouse, Margit Vészi]
Generated description
Margit Vészi was a Hungarian journalist and writer, known both for her own literary work and as the wife of celebrated playwright Ferenc Molnár.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margit Vészi
Target entity description: Margit Vészi was a Hungarian journalist and writer, known both for her own literary work and as the wife of celebrated playwright Ferenc Molnár.
  • A. Margit Bornemisza
    Margit Bornemisza is a member of the prominent Thyssen-Bornemisza family, known for its industrial fortune and major European art collections.
  • B. Katalin Szili
    Katalin Szili is a Hungarian politician and former Speaker of the National Assembly who has played a significant role in Hungary’s post-communist political landscape.
  • C. Márta Eggerth
    Márta Eggerth was a Hungarian-born soprano and film actress renowned for her operetta performances in Europe and Hollywood during the 1930s and 1940s.
  • D. Márta Borbíró
    Márta Borbíró was the wife of Hungarian physiologist and Nobel laureate Albert Szent-Györgyi.
  • E. Éva Gábor
    Éva Gábor was a Hungarian-American actress, singer, and businesswoman best known for her role as Lisa Douglas on the television sitcom "Green Acres."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be8566881908b8902e3cd567669 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c711f9b08190aa5981320597e83b completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c7e1247481908073c1e282c3619f completed May 3, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7c8f2b5588190b6143d676eb648a0 completed May 3, 2026, 10:15 p.m.
Created at: April 9, 2026, 10:15 p.m.